Navigating the Neural Space in Search of the Neural Code.
By Mehrdad Jazayeri, Arash Afraz. 2017
241 citations recorded by the source corpus.
Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cellular and Molecular Neuroscience
- David J. Anderson
- Pietro Perona
- Kristin Branson
- James J. DiCarlo
- Saurabh Saxena
- John P. Cunningham
- Pouya Bashivan
- Kohitij Kar
In Cognitive Neuroscience
- Pouya Bashivan
- James J. DiCarlo
- Kohitij Kar
- Saurabh Saxena
- John P. Cunningham
- Pietro Perona
- David J. Anderson
- Grace W. Lindsay
Citations in the corpus
- Re-evaluating circuit mechanisms underlying pattern separation (2019, neutral): “To understand the link between pattern separation and dimensionality, it is useful to separate the concept of the spatiotemporal activity patterns that represents a single or a few stimuli or tasks (sometimes called a ‘neural manifold’; Jazayeri and Afraz, 2017) from its ‘coding subspace’, which com”
- Neural population control via deep image synthesis (2018, methodology): “S = Softmaxt(y) = et ∑ eyi (11) where t is the index of the target neural site, and yi is the response of the model V4 neuron i to 545 the synthetic image.”
- Computation Through Neural Population Dynamics (2020, unknown): “Causally attributing changes in neural population activity to changes in behavior is a notoriously difficult problem in systems neuroscience ( Jazayeri & Afraz 2017,Otchy et al. 2015).”
- Computational neuroethology: a call to action (2019, background): “And yet, the conceptual difficulties in reaching this understanding may sometimes appear rather daunting (Gomez-Marin et al., 2014; Jazayeri and Afraz, 2017; Krakauer et al., 2017).”
- Towards the neural population doctrine. (2019, background): “See [77] for a good perspective on why causal inference in the presence of multi-scale dynamics is difficult.”
- Sequential and efficient neural-population coding of complex task information (2019, unknown): “In many experiments, ours included (Figure 1A), the observed neural states appeared confined to a lower-dimensional region of the neural state space, termed the ‘‘neural manifold’’ (Aksay et al., 2003; Gallego et al., 2017; Ganguli and Sompolinsky, 2012; Hopfield and Tank, 1986; Jazayeri and Afraz, ”
- Neural correlates of perceptual consciousness from within: A narrative review of human intracranial research (2025, unknown): “Animal studies reveal that various cognitive processes are encoded within neuronal subspaces that only emerge when single-unit activity is analyzed as lower-dimensional projections of the broader neural activity manifold ( Mante et al., 2013 ; Ebitz and Hayden, 2021 ; Jazayeri and Afraz, 2017 ).”